Data Lake
Unlocking Insights from Diverse Business Information As organizations gather petabytes of data from numerous sources daily, establishing a central data lake provides the foundation to extract unprecedented value. By passively collecting and organizing raw assets independently of current analytics demands, data lakes empower flexible exploration of previously untapped insights.
01
Data Ingestion
The data lake securely acquires continuous streams and batch loads of information produced throughout the business in their native formats. This includes structured records from databases and warehouses as well as unstructured objects like logs, documents and sensor readouts.
02
Data Discovery
Advanced metadata cataloging and search capabilities allow data scientists and analysts to efficiently find specific raw datasets potentially relevant to their projects and hypotheses.
03
Data Exploration
Notebooks, SQL and Spark engines provide on-demand processing power directly against the lake's contents without extracting copies, allowing rapid, iterative interrogation to drive discoveries.
04
Advanced Analytics
The consolidated pool fuels powerful AI/ML experiments by connecting specialized platforms and tools to its expanding collection of organized and prepared inputs.

Case study 1

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